Total 2,169 Science / R&D / Research job vacancies in pasir ris north east

We are seeking a talented and ambitious candidate to join our team in developing next-generation quantum sensors. The project focuses on creating a mesoscopic-scale "artificial atom" through superconducting levitation of a ferromagnetic particle. This levitated, freely precessing particle represents a system of correlated spins, capable of rapidly averaging quantum uncertainty. By leveraging this system, we aim to develop quantum sensors with sensitivities surpassing the standard quantum limits.

This position is based in A*STAR Quantum Innovation Centre (Q.InC). The successful candidate will contribute to a range of innovative activities, including:

Key Responsibilities:

• Development of high-performance sources to generate squeezed light.
• Characterizing the squeezed light.
• Modeling the dynamics of the levitated particle
• Microfabrication of the particle, silicon pocket, and superconducting materials
• Develop a hybrid motion tracking system integrating SQUID technology with squeezed light techniques.

Requirements:

• Ph.D. in Physics, Applied Physics, Precise Instrumentation, or related fields
• Strong motivation for multidisciplinary research
• Prior experience in superconductivity and/or quantum sensing is highly preferred
• Proficiency in programming languages such as Python or MATLAB
• Strong teamwork and communication skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A*STAR Infectious Diseases Labs (A*IDL) is seeking for a Research Scientist to join us in our mission to to be a leading centre for infectious diseases research excellence in antimicrobial resistance, respiratory and vector-borne diseases. A*ID Labs brings together infectious diseases expertise from across multiple disciplines to drive cutting edge translational infectious diseases research to contribute to Singapore’s national preparedness.

You will be joining the Mucosal Infection Lab. The lab focuses on modelling mucosal infection using in vitro and in vivo systems with priority antimicrobial resistance (AMR) bacteria to understand disease pathogenesis. Specifically, the projects will involve dissecting the mechanisms in the gut-liver axis during bacterial induced pyrogenic liver abscess. Candidates with prior experience working with liver diseases and single-cell RNAseq are preferred.

Job Responsibilities:

• Basic molecular and protein assay including PCR and ELISA
• Small animal infection with AMR bacteria (Klebsiella pneumoniae and E. coli)
• Small animal microbiome colonization models
• In vitro infection assay using AMR bacteria and microbiome.
• Immune profiling in the tissues of infected animals
• Lab safety and housekeeping
• Routine administrative duties and budget/spending management of the lab

Job Requirements:

• PhD in Biomedical Sciences, Life Sciences, Infectious diseases, Immunology or related field.
• At least 1 year of relevant experience
• Good spoken and written communication skills
• Experience working with liver diseases
• Background with single cell RNAseq
• Competency in bacterial culture, cell culture, flow cytometry and basic microscopy will be advantageous but not strictly required.
• Basic knowledge in bioinformatics will be advantageous.
• Comfortable working with small animal models

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities:

• Engage and manage various stakeholders (internal and external) expectations and communication.
• Collaborate with functional teams to conduct cleanroom/facility planning and layout
• Carry out physical area/ floor marking, coordinate with functional teams in tool purchase, movement (in/out), tool relocation plan, project timeline and capacity update.
• Perform risk analysis of various project options and outcomes
• Maintain and validate capacity/capital/space models to enable accurate assessment of wafer fabrication and operations loading needs
• Support operational efficiency improvement efforts (cycle time, OEE improvement, capacity optimization, space optimization)

Requirements:

• Degree in Engineering (Industrial & Systems Engineering), Mechanical, or relevant field;
• Proficient in AutoCAD 2D/3D and Simulation Tool preferred
• Proficient with Microsoft Words, Excel and PowerPoint proficiency
• Preferably to have industrial engineering experience in a semiconductor/ manufacturing environment
• Ability to work independently and team player to deliver in fast paced and collaborative environment

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Overview of role

In this role, you will effectively manage others and collaborate cross functionally to deliver critical innovations across multiple projects. You will lead your team to deliver projects and/or capability building innovation to the business. You will also have responsibility for delivery of technical rigor and mastery in your organization. If this sounds exciting to you, read on!

Your team
You will be working with a global team of technical experts while being close to commercial leaders via the Singapore Innovation Centre. You will receive guidance and coaching from Senior Directors on a regular basis.

Key Responsibilities

• Proactively partnering with R&D leaders and teams to create & deliver programs and projects against their toughest business and innovation challenges.
• Have ownership of significant deliverables for a project/ program. Responsible for determining priorities, defining the work, and setting expectations to deliver against the business and R&D/project/program objectives.
• Define and solve business needs and problems of considerable scope by integrating knowledge, intuition, and continued hands-on, in-the-lab experimentation as needed.
• Set and re-adjust project direction and approach as new learning becomes available.
• Integrate internal and external innovation capabilities to resolve problems and deliver superior results.
• Role model a “People First” inclusive and respectful

Qualifications

• Bachelors or Masters degree in Science or Engineering fields
• 8+ years’ FMCG or relevant Innovation experience: envisaging, developing and delivering innovation to meet consumer needs and grow the business
• Experiences in applying the science in actual product innovation/ commercialization.
• Proven technical mastery and problem solving: including business, consumer and technical problem (re)definition, hypothesis development and learning plan delivery – leading to successful business outcomes and growth.
• Strong on acquiring up-to-date external information and working with external partners, integrating big amount of information into data-based insights & recommendations.
• Having an ability to envisage the future while finding the common ground and matching the external possibilities with internal needs, to create the joint vision and deliver the end business outcomes.
• Posses excellent international and interpersonal communication and influencing skills for internal and external relationship building and collaborations.
• Proactive & collaborative leadership and highly self-motivated to work across multiple internal and external organizational boundaries whilst maintaining a focus on the consumer and business outcome.

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.Visit http://www.pg.com to know more.Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

Job duties and responsibilities :

• Oversee and manage all Singapore Chinese Health Study genetic data hosted on GIS RAPTOR platform.
• Coordinate data extractions and data transfer for the Singapore Chinese Health Study.
• Manage design, develop, verification and validation activities for appropriate genetic data storage and analysis.
• Execute large-scale genetic evaluations for ageing biomarkers and age-related traits and outcomes with the Singapore Chinese Health Study dataset.
• Coordinate data harmonization with key collaborators to enable larger scale data analysis.
• Maintain proper logs and filing for all project documents and records.

Job requirements :

• Proficiency in large-scale genomics evaluations.
• Proficiency in cloud computing, unix based computational platforms.
• Excellent communication and collaborative skills and ability to work as part of a larger team.
• Meticulous in delivering and documenting tasks with appropriate computational tools.
• Well acquainted with basic molecular biology techniques including qPCR and NGS
• PhD in genomics, computational biology or related fields.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Faculty of Arts and Social Sciences (FASS) at the National University of Singapore (NUS), invites applications for the position of Research Assistant/Associate. The successful applicant is expected to commence duties at NUS in January 2024, or as soon as possible thereafter.

This position is connected to a research project titled, “Relocation, Social Networks and Housing Aspirations in Ageing Public Housing”. The research focuses on homeowners’ decision making towards housing relocation. The research team will primarily use ethnographic and interview methods in the research, combining these with a small-scale survey, GPS tracking and GIS visualisations for analyses.

The project team consists of Principal Investigator (PI) Professor Elaine Ho (Department of Geography), Co-PI Associate Professor Vincent Chua (Department of Sociology and Anthropology) and Collaborator A/P Feng Chen-Chieh (Department of Geography).

Scope and responsibilities

The RA will provide administrative support to the Principal Investigator for large grant management and liaise with the project team members or external parties on such matters. There will be opportunities to be involved in empirical research and/or data analyses that are central to the project.

Qualifications

Applicants are expected to hold at least a Second Class Honours (Upper Division) or an equivalent honours degree, or a Master’s degree in the Social Sciences.

Competencies

• Willingness to learn about and work with researchers using mixed methods; prior experience of working with mixed methods will be an advantage
• Excellent writing and strong communication skills in English, including an ability to present research in both academic and non-academic venues
• Curiosity and passion to explore new concepts, methods and technologies, and capable of identifying and quickly learning the most suitable tools for the research on the go
• A good team player and the ability to multitask effectively
• Excellent organization and interpersonal skills
• Basic computer knowledge and core Microsoft Office skills
• Prior experience in large grant management will be an advantage
• Skills in using qualitative analysis software will be an advantage
• Skills in one or more of the following languages for carrying out research interviews is required if the participant does not use English: Mandarin and/or Chinese dialects used in Singapore (e.g. Hokkien, Cantonese, Teochew or Hainanese); Malay or Tamil.

Application

Informal enquiries may be made to Professor Elaine Ho ([email protected]). Please include a covering letter, full CV and 3 letters of recommendation in your application.

This is a 6 months contract which can be extended according to performance.

Shortlisted applicants may be called for interview, either in person or by Zoom, as appropriate.

Application deadline: 2 weeks from the time of advertisement.

Principal Scientist for Advanced Photonics and Flat Optics Process Integration

The candidate will take the lead for the development of advanced photonics and flat optics integration. This could include but not limited as photonic integration, photonic heterogeneous integration, multi-layered flat optics integration, electro-photonics integration, etc., with various materials. The candidate will work closely with an excellent multidisciplinary and high-industry driven team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration process with 8-inch and 12-inch fabrication facilities, including such as photonics heterogenous integration and flat optics integration.
• Design of Experiments (DOE) for both design and process margin checking and process control.
• Baseline integration process development and standardization for both photonics heterogenous integration and flat optics integration.
• Lead the inline defect analysis and process DOE towards yield improvement.
• Lead the inline process metrology data taking and analysis, device / circuit performance data taking.
• Data analysis and documentation.
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent.
• Strong hands-on experience in CMOS or Photonics integration.
• Minimum 10 years working experience on commercial foundries or equivalent.
• Minimum 10 years project and team management skill.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation advanced photonics technology and product development.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Computational Social Science and Humanities (CSSH) is seeking a Research Associate to join our collaborative team and advance computational research in the social sciences and humanities.

Position Overview

As Research Associate, you will design and implement high-quality, sustainable software to drive research in computational social science and humanities. You will collaborate with CSSH management, faculty and external partners to translate research priorities into software solutions, including data analysis, model implementation, and tool development. Your expertise in computational methods and machine learning workflows will be crucial in advising scholars and contributing to research outputs. This full-time position is based in Singapore.

Key Responsibilities

• Develop, test, and maintain research software using best practices in software engineering
• Implement and optimize machine learning workflows for social science and humanities research
• Manage multiple projects and priorities effectively
• Contribute to research articles and presentations
• Help train graduate students and run master classes
• Promote CSSH’s work within the broader computational social science and digital humanities communities

The successful candidate will play a crucial role in advancing computational research in the social sciences and humanities at the National University of Singapore. We seek an individual who can bridge technical expertise with domain-specific knowledge related to the key themes of the centre to drive innovative research outcomes. The themes are: 1) computational models of social behaviour; 2) digital platforms and ecosystems; 3) health and social care; 4) social media, networks, and interactions; 5) texts, heritage and culture.

Only shortlisted candidates will be notified.

Job Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Computational Social Science, Digital Humanities, or a related field
• Strong programming skills and experience, particularly in Python, with expertise in machine learning libraries and frameworks
• Demonstrated experience in implementing and optimizing machine learning workflows
• Experience with data gathering, processing, and analysis from diverse sources and formats
• Strong project management skills and ability to handle multiple priorities
• Excellent communication skills to collaborate with researchers across disciplines

Preferred

• Experience in computational social science or digital humanities research
• Experience contributing to open-source projects

Research Scientist for Research on Wireless Power Transfer

The hired Research Scientist will work on the research of wireless power transfer (WPT) in the Biomedical EM Lab at Singapore University of Technology and Design (http://people.sutd.edu.sg/~huangshaoying/). The contract is 1 year (renewable) for research assistants.

Project Description

The project is to investigate the electromagnetic mechanisms for a compact, efficient, and wideband antenna/radiator suitable for wireless energy harvesting (WEH)/WPT. This exploration will span both conductive and magnetoelectric (ME) antennas. Our study will consider WIFI, power from base stations, and WPT as potential power sources.

Job Scopes:

• Literature review of the research domain
• Investigations on the electromagnetic mechanisms for a compact, efficient, and wideband antenna/radiator suitable for WEH/WPT
• Designs of small antennas/radiators for WEH/WPT
• Antenna/radiator fabrications and testing
• Paper writing and documentations

Your profile

We are looking for a researcher with the following expertise and skills,

• A PhD in electrical engineering, physics, or related field
• Knowledge on EM theories microwave engineering, especially antenna theories and transmission line theories
• A background on EM modeling and simulation software (e.g., CST)
• Research or design experience on WEH/WPT and/or antenna designs
• Testing and characterization of RF/microwave devices or components
• Python/Matlab coding
• Good track record of the capacity to drive first author publications
• Good communication skills and interpersonal skills
• A good team player

For interested candidates

Interested candidate please send your CV to Huang Shaoying at [email protected]

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will contribute to developing analog circuit blocks e.g. low-power operational amplifiers, voltage/current references, and voltage regulators based on thorough topology analysis. This candidate will work closely with other team members for the circuit design, test verification, as well as system integration and validation for a broad range of innovative sensor systems.

Role & Responsibilities

• Circuit schematic design and simulation, layout supervision, pre-tapeout design verification, test plan development and chip measurement
• Work together with teams to investigate novel circuit/system solutions to create new inventions

Requirements

• Bachelor’s / Master’s degree in Electronic Engineering
• Good understanding of CMOS analog IC design methodologies
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant / Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers

UWCSEA Dover has a vacancy for a full time K-12 Research and Primary School Teacher Librarian from August 2025. This is an exciting opportunity for an innovative and passionate educator as Dover reimagines the place of our library in mission-aligned learning at UWCSEA.

The successful candidate will be a highly resourceful and forward-thinking collaborator, passionate about delivering exciting learning and a love for reading. The post holder will work directly with campus leadership and support staff, understanding their curriculum needs, proactively helping with the development of resources and working directly with student learners to develop literacy and information literacy skills.

Main Responsibilities

Vision, Strategy, and Culture

• Set a positive primary school library culture aligned with UWCSEA’s Mission, Values, and wellbeing principles.
• Audit library operations and work with the Head of Libraries to develop a strategic plan that positions Dover Libraries at the center of campus learning.
• Collaborate with curriculum leaders across the K-12 curriculum to ensure that students across all grade levels develop critical research competencies.

Resources

• Plan acquisitions and promotion of physical and digital resources, ensuring alignment with curriculum needs and student interests.
• Audit and develop the primary school library collections.
• With the Head of Libraries, ensure K-12 databases and digital resources meet the evolving needs of the learning community.
• Create and maintain online research guides, tutorials, and other digital resources to support literacy, research and inquiry-based learning.

Teaching and Learning

• Enhance inquiry-based learning and research skills by regularly meeting with and supporting grade-level or departmental leaders to design and deliver programs that develop students' information literacy, research skills, and digital fluency.
• Collaborate with the Head of Digital Literacy to embed the K-12 Information Literacy Curriculum.
• Support weekly class visits (read alouds, book talks) so that primary school students can check out books and learn about library resources.
• Plan author visits, workshops, book clubs, and other learning events for the primary school.
• Offer library orientation programs and readers’ advisory services to staff and students as needed.

Community Building and Networking

• Engage with parents through literacy and learning workshops.
• Develop relationships with other librarians, both locally and internationally, and participate in professional networks to share ideas and practices.

Library Supervision

• Oversee the daily operations of the primary library, ensuring a welcoming, student-centered environment. Offer support and guidance as needed to TAs on duty.
• Monitor library usage and work with the library team to maintain an appropriate tone and culture of use.

Professional Learning

• Model continuous professional growth and offer opportunities for library staff to engage in professional development.
• Mentor within the Professional Learning Programme (PLP) to support goals focused on research and information literacy.
• Support the development of physical and digital resources for staff professional learning, and deliver in-house training where needed.
• Support professional book club events like Books and Burritos.

Expectations and Standards

• Follow the UWCSEA Professional Code of Conduct and Safeguarding Code of Conduct.
• Teach in line with the UWCSEA Teacher Standards

Person Specifications

• Master’s degree in Library Science or Information Management, or a related degree and a recognized teaching qualification are essential.
• 3+ years of library experience.
• Proven experience in K-12 digital literacy would be a distinct advantage.
• Experience building a reading culture.
• High levels of intercultural competence, flexibility, and a collaborative style, with experience working in inclusive and diverse teams.
• Excitement and enthusiasm for lifelong learning, design thinking, and providing quality feedback on learning.
• Experience with tools such as Google Apps for Education, Follett Destiny, and other learning technologies.
• Willing and eager to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education; and Service.
• The College expects a significant weekly contribution to Activities and/or Service.
• The College expects that teachers will participate enthusiastically in the curricular Outdoor Education experiences that are relevant to their students and will also occasionally volunteer for holiday Outdoor Education trips.
• Our teachers actively promote the College’s Mission, Educational Goal, Values and Learning Principles through their enthusiastic and full participation in College life and their supportive engagement with students, colleagues and parents.
• A commitment to diversity and inclusion is essential alongside a willingness to adapt and develop pedagogy to meet the needs of our learners.

Applications

The UWC Mission is to make education a force to unite people, nations and culture for peace and a sustainable future. We are committed to creating a community in which all members feel safe and secure, and know that their authentic selves and individual differences are accepted with respect and care. At UWCSEA, we acknowledge that diversity, equity, inclusion and justice (DEIJ) is an ongoing and evolving process and strive to create and sustain a sense of belonging for all members of our community, past, present and future. All qualified applicants, including those who identify as a part of marginalized group(s) and individuals with (dis)abilities are all encouraged to apply. Our school is committed to safeguarding and promoting the welfare of all the students in our care and expects all applicants to share this commitment. We follow safe recruitment practices and all appointments are subject to interview, satisfactory references, identity and criminal record checks.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Academy for Healthy Longevity, a world-leading education and research group in geroscience and geromedicine, is seeking passionate and innovative Research Assistants (Exercise Science) to join our dynamic team. This exciting role offers a unique opportunity to contribute to groundbreaking research in the field of healthy longevity medicine, working at the forefront of clinical trials for gerotherapeutic interventions aimed at measuring and slowing biological age.

As part of the Healthy Longevity Translational Research Programme (HLTRP) within the NUS Yong Loo Lin School of Medicine, you will be at the heart of our mission to add healthy years to life by delaying aging, prolonging disease-free life, and enhancing quality of life. This position presents an unparalleled chance to shape the future of healthcare and make a lasting impact on global health outcomes.

Purpose of the Role

In the Research Assistant (Exercise Science) role at the NUS Academy for Healthy Longevity, you will play a crucial role in advancing our understanding of healthy aging through clinical trials and research initiatives. Your expertise will be instrumental in supporting groundbreaking studies aimed at measuring and slowing biological age, with a focus on gerotherapeutic interventions.

This dynamic position offers an exciting blend of clinical research and exercise science application. You will have the opportunity to work within multidisciplinary teams, contributing to the development, implementation, and evaluation of innovative protocols and interventions designed to improve health outcomes in middle-aged and older adults.

Your role will involve conducting exercise testing, prescribing personalized exercise regimens, and collecting vital data for our ongoing research projects. As we push the boundaries of geroscience, your analytical skills and exercise science knowledge will be key in interpreting results and contributing to the advancement of healthy longevity research.

This position presents a unique chance to be at the forefront of translating research into practice, potentially shaping future healthcare strategies and interventions. Join us in our mission to add quality years to life, working alongside world-renowned experts and utilizing state-of-the-art equipment in our pursuit of transformative discoveries in the field of geroscience and geromedicine.

Main Duties and Responsibilities

The Research Assistant (exercise science) is expected to:

• Work with the clinical and research teams to manage the day-to-day activities of the various services including their development, delivery, and evaluation.
• Perform routine clinical assessments according to Standard Operating Procedures in clinical practice and ongoing research studies.
• Interpret participant tests and procedures, including physiological measurements, such as VO2max, anthropometric measurements, as well as prescribe aerobic and resistance exercises based on current clinical guidelines.
• Perform recruitment of clinical service participants for research studies, and scheduling for study visits.
• Support the research and clinical teams with other activities when required.
• Maintain clinical documentation, including Standard Operating Procedures, data records, equipment maintenance.

Main Duties and Responsibilities

• Assess and validate new assessment methods before implementing into clinical practice and research.
• Train new staff and students on Standard Operating Procedures.
• Mentor and identify training needs for junior staff.
• Comply with clinical inventory management procedures.
• Comply with good clinical practice.
• Coordinate with team to help ensure that clinical research and related activities are performed in accordance with national regulations, university/institute and sponsoring agency’s policies and procedures.

Qualifications

The applicant should have:

• Bachelor’s degree in exercise science and/or allied health with a strong interest in implementing exercise testing and prescription for adults.
• Minimum 2-3 years of relevant clinical experience is preferred.
• Understanding of or experience with human clinical studies and or observational longitudinal studies
• Experience in routine clinical assessments in research studies is advantageous.
• Excellent organisational skills and the ability to undertake a range of tasks concurrently.
• High level of verbal and written communication skills with the ability to convey complex information in easily understood format for a variety of audiences.
• Ability to speak a second local language would be an advantage as you may need to interact with patients who only speak their mother tongue.
• Ability to work independently and as part of a multidisciplinary team linking different fields (e.g. exercise sciences, geroscience, nutrition).

Application

Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees).

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will have the opportunity to develop unconventional ultrasound transducer drivers, receiver circuits for IoT and biomedical applications as well as cutting-edge high-speed analog circuits for advanced optical communication.

Role & Responsibilities

• Design and tapeout circuit blocks e.g. high linearity low-noise amplifier, variable gain amplifier, envelop detector, and high voltage driver for MEMS ultrasound transducers.
• Work together with team on system integration and demonstration.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Minimum 2 years of transistor-level analog circuit design experience
• Good understanding of CMOS analog IC design methodologies and successful tapeout experience
• Familiar with analog IC design and verification flow
• Design experience with high voltage BCD process would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will contribute to developing analog circuit blocks e.g. low-power operational amplifiers, voltage/current references, and voltage regulators based on thorough topology analysis. This candidate will work closely with other team members for the circuit design, test verification, as well as system integration and validation for a broad range of innovative sensor systems.

Role & Responsibilities

• Circuit schematic design and simulation, layout supervision, pre-tapeout design verification, test plan development and chip measurement
• Work together with teams to investigate novel circuit/system solutions to create new inventions

Requirements

• Bachelor’s / Master’s degree in Electronic Engineering
• Good understanding of CMOS analog IC design methodologies
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Responsibilities:

• Engage and manage various stakeholders (internal and external) expectations and communication.
• Collaborate with functional teams to conduct cleanroom/facility planning and layout
• Carry out physical area/ floor marking, coordinate with functional teams in tool purchase, movement (in/out), tool relocation plan, project timeline and capacity update.
• Perform risk analysis of various project options and outcomes
• Maintain and validate capacity/capital/space models to enable accurate assessment of wafer fabrication and operations loading needs
• Support operational efficiency improvement efforts (cycle time, OEE improvement, capacity optimization, space optimization)

Requirements:

• Degree in Engineering (Industrial & Systems Engineering), Mechanical, or relevant field;
• Proficient in AutoCAD 2D/3D and Simulation Tool preferred
• Proficient with Microsoft Words, Excel and PowerPoint proficiency
• Preferably to have industrial engineering experience in a semiconductor/ manufacturing environment
• Ability to work independently and team player to deliver in fast paced and collaborative environment

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Duties and Responsibilities - Process Integration

• Plan the integration flow with device designers
• Draft the runsheet by translating the flow into process steps and capturing necessary shortloops
• Perform the DoE with process module teams
• Track the lot and report the progress
• Identify failure modes/root causes and address the problems by proposing changes
• Must be good at documentation and written communication

Job Requirements

• Bachelor's degree in Microelectronics, Electrical, Mechanical, or Chemical Engineering.
• A basic understanding of the semiconductor processes is preferred.
• 3-5 years of hands-on experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will add advantages.
• Must be a team worker with the project stakeholders (device design, process module, and equipment/facility).

As part of IME Integrated Circuit Design and System Department, we are looking for a candidate with relevant experience in ultrasound imaging system design. This candidate will define an ultrasound transducer array beamformer IC architecture for imaging applications. The candidate will work closely with MEMS team on system architecture, circuit design, simulation, validation, and integration.

Role & Responsibilities

• Perform system-level beamformer architecture, design, and simulation, to derive circuit-level design specifications.
• Beamforming array optimization using AI algorithms.
• Design and implementation of beamformer algorithm in hardware.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Good understanding of ultrasound imaging systems and beamforming theories.
• Knowledge of AI algorithms and implementation will be a plus
• Familiar with IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant / Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Information Systems and Analytics, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in the area of emerging technologies for healthcare.

Qualifications

• A PhD degree in the relevant area (or be on track to acquiring one before starting as a Fellow)
• Have substantial experience in research.

Only shortlisted candidates will be notified.

Job Description:

• Applied Data Science on Test Yield Analysis & Improvement OpportunityProduct Test Yield and Key Test Parameters Analysis in relationship & correlation to Fab WET data or Wafer Probe Die Sort Data
  Develop a predictive model of product test yield based on available key Fab, Sort monitoring data
  Leveraging on advance data analytics and Artificial Intelligence technique to enable speed of detection, prevention and prediction
  Collaborate with respective product owner PE to drive yield improvement opportunity based on big data analysis or specific excursion with timely detection of abnormality
  
• Quality Monitoring Data & Customer Complaint Analysis in relations to Test Information & Manufacturing Process DataAnalyze real-time monitoring data abnormality (Maverick) detection & prevention measures effectiveness for applicable semiconductor manufacturing processes.
  Leverage predictive analytics to trigger interventions that reduce the risk of yield loss or quality issues.
  Collaborate with respective product owner PE to drive out-quality improvement opportunity based on big data analysis & predictive quality risk
  
• Collaborate with Manufacturing Site to Drive Data-Driven Process Optimization for Yield and Quality ImprovementWork closely with on-site Product, Test or Process engineers to analyze production data, identify trends, and optimize manufacturing processes.
  Use data science techniques to reduce variability and improve overall product quality.
  Leverage on machine learning models application opportunity in Fab, Die probe, Die-to-Reel, Assembly, Test, Tape & Reel process for total continuous improvement & innovation.
  
• Failure Mode Analysis & Customer Risk/RMA MitigationEnhance product quality & reliability by developing predictive models that assess the potential quality risk to customers. Use insights from these models for disposition decision making to ensure compliance with quality standards.
  Collaborate with quality, process, product engineer on in-depth failure mode and effects analysis (FMEA) using historical and real-time data to predict and mitigate potential defects.
  Collaborate with manufacturing teams to implement corrective actions based on predictive insights.
  
• Additional Responsibilities:Track wafer and package yield trends on a daily basis
  Leverage 2DID and Die Level Traceability to perform novel analyses and move yield/quality issues upstream to wafer level whenever possible
  Identify opportunities for cost reduction
  Generate analyses aimed at highlighting device sensitivities and interactions between design/fab/assy/test
  Leverage all available test points to detect anomalies, shifts, drifts, outliers, maverick events as close to the Point of Occurrence as possible
  Identify opportunities for cost reduction
  Monitor/Report on KPI's and facilitate data-driven decision making
  

Requirements:

• Domain Expertise:Bachelor’s or Master degree in Data Science, Computer Science, Electrical Engineering, or a related field, with specialized knowledge in semiconductor manufacturing processes. Experience in predictive analytics for yield and quality in semiconductor fabs is highly desirable
  
• Technical Skills:Proficiency in programming languages such as Python or R, with preferred experience in machine learning libraries and statistical modeling. Strong background in data analysis, including the use of big data technologies and cloud platforms
  
• Experience with Semiconductor Manufacturing:At least 3 years of experience working in semiconductor manufacturing, particularly in roles focused on process monitoring, yield improvement, and quality control. Familiarity with Fab, Die probe, and Assembly processes is essential
  
• Analytical and Predictive Modeling Expertise:Proven track record in developing and deploying predictive models for yield analysis and quality assurance. Experience with tools like JMP, Minitab, or similar for statistical process control (SPC) and predictive maintenance is a plus.
  
• Cross-Functional Collaboration and Communication:Strong communication skills to effectively collaborate with process engineers, quality assurance teams, and other stakeholders. Ability to translate complex data insights into actionable strategies that improve product yield and quality.
  

Interested applicants, please apply via our corporate website under the requisition number 8439 at http://www.qorvo.com/careers/ with a copy of your detailed resume. ​